Investigation and analysis of microbiological communities in natural <i>Ophiocordyceps sinensis</i>
Bibliographic record
Abstract
Ophiocordyceps sinensis is a fungus that parasitizes caterpillars, and more than 30 species of filamentous fungi have been isolated from its fruiting body. However, its microbiological diversity remains unclear. Based on the clone library and quantitative PCR techniques, the bacterial flora and mycobiota of 3 different samples (larva, stromata/sclerotia, and surface soil) from natural O. sinensis specimens were investigated using primer sets that targeted the 16S rRNA gene and internal transcribed spacer region of ribosomal DNA. The results showed that the abundance of bacterial and fungal communities in the soil attached to the surface of O. sinensis was (6.4 ± 1.4) × 10(6) and (6.0 ± 0.3) × 10(7) copies/g dry matter, respectively, which was the highest compared with that in the larva and stromal samples. The main groups of bacteria in the O. sinensis samples were Proteobacteria and Actinobacteria, while Ascomycota was the most dominant fungal group in the 3 samples. At the genus level, Geomyces, Phoma, and Trichocladium were the dominant genera in the larval sample, while Geomyces and Cladosporium were the dominant genera in the stromal sample. In conclusion, a great number of bacterial and fungal species were present in naturally occurring O. sinensis specimens, and there was a high diversity of bacterial and fungal communities. These findings contribute to the understanding of the bacterial and fungal community structure of this valuable medicinal fungus and lay the foundation for the future discovery of new medicinal microorganism resources.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".